Journal of the American Chemical Society
Article
introduction of gas sample to the microreactor can cause turbulent
flows and could present a challenge for the coupled flow/kinetic
modeling.57−59 To address that limitation and to achieve the optimal
temporal overlap of the molecular sample with the nearly continuous
mode of FID acquisition in the segmented chirp spectrometer, a CW
supersonic expansion is employed in this work. A 6 cm, 1.5 mm inner
diameter SiC tube is held in place by a vespel/graphite ferrule in a 1/4
in. Swagelok fitting. As in ref 60, two carbon discs in contact with
molybdenum electrodes and separated by 3 cm connect the SiC tube
to the electrical power supply. A water baffle provides further support
for the SiC tube and thermally isolates it from the gas supply line. The
these prior efforts to guide the closed, homogeneous reactor
simulations of the present experiments.
2.3. Theory. Our recent automation of the process for generating
first-principles kinetic predictions for large sets of reactions49,50
allowed us to readily predict the rate coefficients for essentially all of
the key reactions involved in the initial stages of pyrolysis. In
particular, the methodology proceeds directly from a listing of
reaction channels and desired kinetic methodology to Chemkin
formatted rate constants and thermochemical properties. The
methodology spawns all of the necessary electronic structure
calculations including geometry optimizations, TS and conformational
searches, as well as hindered rotor scans, vibrational analyses, and
high-level energy computations. This data is then automatically
collected and formulated for the implementation of multichannel
multiwell master equation analyses, as well as the requisite fitting of
the rate constant data to forms appropriate for use in Chemkin style
modeling simulations. A brief review of this automated kinetics
The kinetic methodology implemented here involved transition
state theory (TST) based master equation calculations, with the
barrier properties predicted at either the CCSD(T)-F12/CBS//
B2PLYP-D3//cc-pVTZ or the CCSD(T)-F12/cc-pVTZ-F12//
ωB97XD//cc-pVTZ levels of electronic structure theory. The
complete basis set (CBS) extrapolation in the former analysis is
based on explicit evaluations for the cc-pVTZ-F12 and cc-pVQZ-F12
basis sets. The first level of theory was applied to reactions on
potential energy surfaces with 4 or fewer heavy atoms (e.g., H + 2-
propenol and H + acetone), while the second level was applied to
potential energy surfaces with 5 heavy atoms (e.g., CH3 + 2-propenol
and CH3 + acetone). The results reported in ref 50 indicate that
calculations at these levels of theory typically have an uncertainty of
about a factor of 2 or better in the predicted kinetics. For a few
reactions we instead performed CCSD(T)/CBS(cc-pVTZ,cc-
pVQZ)//M06-2X based ab initio TST based master equation
calculations by hand,63,64 which are expected to be of similar accuracy
to the CCSD(T)-F12/cc-pVTZ-F12//ωB97XD//cc-pVTZ based
ones. These electronic structure calculations were performed using
the Gaussian 09 software package.65 All of the structures, vibrational
frequencies, and energies from this analysis are provided in the
A second aspect of the theoretical analysis involved a high-level
determination of the potential energy surface properties for the
dissociation of acetone. This analysis was mostly performed at the
ANL0 level of theory, as described in ref 66. The extensive
comparison with Active Thermochemical Tables values provided
therein indicated that ANL0 predicted stationary point energies
should generally have uncertainties of ∼0.2 kcal/mol. By necessity,
this comparison was only for minima, and it is less clear how accurate
saddle point predictions would be. Nevertheless, more limited
unpublished comparisons between related kinetic predictions and
observations suggest that the accuracy for saddle points is quite
similar, at least for “standard” saddle points with limited multi-
reference character.
For the roaming saddle points, CCSD(T) based methods are not
appropriate, and the energies were instead obtained from multi-
reference based estimates of the energy relative to the fragments. In
particular, the energies were obtained from second order multi-
reference perturbation theory (CASPT2) determinations of the saddle
point structure and frequencies (for a cc-pVQZ basis set), and
singlet−triplet splittings (at the CBS limit from cc-pVQZ and cc-
pV5Z calculations). The singlet−triplet splitting is then added to a
CCSD(T)-F12/CBS prediction of the triplet state energy at the
saddlepoint, which in turn is referenced back to the corresponding
energy of the radicals. These energies are then tied back to the
acetone energies through ANL0 values for the radicals. For
comparison purposes, Davidson corrected multireference config-
uration interaction (MRCI) values of the spin-splitting are also
obtained. A 4 electron 4 orbital active space (correlating with the
radical orbitals and the CO pi orbitals) was employed for the
reference space for all multireference calculations.
SiC microreactor is heated to its wall temperature of around Twall
=
1800 K as measured by an optical pyrometer. A CW microreactor has
been previously implemented with other detection techniques.7 For
rotational spectroscopy, efficient adiabatic cooling is essential to
increase the S/N. In this work we seed the acetone precursor
molecules in argon carrier gas before feeding this mixture to the
heated SiC microreactor. The supersonic expansion of this mixture
from the microreactor must extend for at least several centimeters
beyond the reactor’s exit without being destroyed by the gas in the
vacuum chamber. In that case, when the millimeter-wave beam (3 cm
in diameter) crosses the molecular beam about 4 cm downstream, the
spectrometer samples the rotationally cooled pyrolysis reaction
products. This is achieved by ample pumping applied to the vacuum
chamber by two turbomolecular pumps, Osaka TGkine1704MBWC-
B and Osaka TG900MCWC,31 with the jet pointing directly into the
latter. Mass flow controllers (MKS Instruments, GM50A) maintain
stagnation pressures of p0 = 550 mbar at 1000 sccm flow rate of the
Ar/acetone mixture, while the pressure inside the vacuum chamber is
pch = 1.3 × 10−2 mbar. The mixtures were prepared using acetone
(≥99.9%, Sigma-Aldrich), acetone-d6 (99.9% D atom, Sigma-Aldrich),
and argon (99.9999%, Airgas). In these pyrolysis studies we record
two consecutive spectra in order to eliminate the possibility of false
detection due to impurities. The “pyrolysis” spectrum is recorded with
the microreactor heated and contains the rotational transitions of the
products and intermediates of thermal decomposition. These spectral
lines must disappear in the “background” spectrum, which is recorded
with the reactor at room temperature.
2.2. Modeling. A kinetics model consisting of 67 species and 242
reactions was assembled to describe the pyrolysis of CH3C(O)CH3.
The subsequent sections outline the mechanistic steps describing the
relevant unimolecular and bimolecular reactions of interest in acetone.
The kinetics of the primary unimolecular and bimolecular reactions,
essential to the early stages of high temperature acetone pyrolysis, was
revisited in this work. In particular, kinetics for the bimolecular
reactions of reactive radicals (CH3, H, OH) with acetone and its enol
isomer, and for their immediate products are computed using an
automated theoretical kinetics code developed in-house as described
in the theory section. Secondary chemistry essential to describe the
formation of various intermediates relied on our in-house
mechanism40,61 to describe the pyrolysis and oxidation of small
hydrocarbons. The complete kinetics model, including thermochem-
istry for all the species (represented by NASA polynomials) used for
the present acetone pyrolysis simulations, is provided in the
The acetone pyrolysis simulations reported here utilized the
ANSYS Chemkin-PRO62 suite of programs. The predictive capability
of our acetone kinetics model at high temperatures relevant to the
present SiC reactor studies was tested against simulations of time-
resolved species profiles from absorption measurements behind
reflected shock waves by Lam et al.24 and speciation data25 from a
single-pulse shock tube. The results of these simulations are reported
found to accurately reproduce these prior observations. This
validation lends support to the mechanistic interpretations and
simulations of the species formed in the present SiC microreactor
experiments. The role of potentially turbulent flow-fields in the SiC
microreactor has been highlighted in the experimental Section and in
prior efforts.57−59 In this work we utilize the insights gained from
3126
J. Am. Chem. Soc. 2021, 143, 3124−3142